Course Requirements for the M.S. Degree in Statistics

Full-time students take approximately two years to complete the MS degree. The degree requires 30 credits of coursework and a capstone project. There are 5 required courses related to probability, statistical theory, regression, consulting, and the capstone project. Students must choose 5 remaining elective courses, 3 of which must be statistically focused. We organize the coursework into 4 components: 1) core courses, 2) statistics electives, 3) other electives, and 4) capstone project. Students must complete the following coursework:

Core courses

  • One of the following courses:
    • MATH 5310 Probability
    • MATH 5792 Probabilistic Modeling
    • MATH 6380 Stochastic Processes
  • MATH 5320 Statistical Inference
  • MATH 5387 Applied Regression Analysis
  • MATH 6330 Workshop in Statistical Consulting

Statistics Electives

3 additional statistics electives from:

  • MATH 5337 Introduction to Statistical and Machine Learning
  • MATH 5388 Machine Learning Methods
  • MATH 5394 Experimental Designs
  • MATH 6101 Uncertainty Qualification
  • MATH 5792 Probabilistic Modeling
  • MATH 6380 Stochastic Processes
  • MATH 6384 Spatial Data Analysis
  • MATH 6388 Statistical and Machine Learning
  • MATH 7384 Mathematical Probability
  • MATH 7386 Monte Carlo Methods
  • MATH 7393 Bayesian Statistics
  • MATH 7826 Topics in Probability and Statistics
  • Additional courses with prior approval by the student’s advisor and the Director of the Program in Statistics.

Other Electives

2 additional electives from:

  • Any MATH course applicable to a graduate degree in Applied Mathematics. The following courses will not count toward the degree: MATH 5010, MATH 5012-5015, MATH 5017, MATH 5198, and MATH 5830.
  • Courses outside the Department of Mathematical & Statistical Sciences at the 4000 level or above with prior approval by the student's advisor and the Graduate Studies Committee. 


All students must complete a written project and pass a final oral exam. The project is developed as a student-centered independent research component within one of the following courses:

  • MATH 6960 Research Methods in Mathematics and Statistics (recommended)
  • MATH 5950 Master’s Thesis
  • MATH 5960 Master’s Project

For more information: contact Dr. Joshua French.

Additional details

In addition, students must satisfy the following requirements:

  • 30 total credit hours of accepted course work.
  • At least 24 credit hours must be MATH courses numbered 5000 or above.
  • Up to 9 credit hours of coursework may be transferred into the M.S. program. Only courses completed with a grade of B- or better may be considered for transfer credit. Credit cannot be transferred until the student has established a satisfactory record of at least six graduate credits in mathematics or statistics at CU Denver with a minimum GPA of 3.0. All transfer courses must be approved by the Graduate Program Director. Courses taken while registered as a non-degree student are considered transfer courses.
  • The overall GPA must be 3.0 or higher. Grades below a B- are not accepted (but still contribute to the student’s overall GPA).
  • All students must take and pass a final oral examination that includes a written report (M.S. non-thesis option) or thesis (M.S. with thesis option).
  • The following courses will NOT count toward this degree: MATH 5000-5010, MATH 5012-5015, MATH 5017, MATH 5198, MATH 5250, and MATH 5830.
  • 3-6 credits of MATH 5950 or 3 credits of Math 5960 can be applied toward the degree. There is no co-credit between MATH 5950, MATH 5960, and MATH 6960.
  • By graduate school rules, Master’s students, whether enrolled full-time or part-time, must complete all requirements within 7 years of matriculation.
  • Students continuing into the PhD program in Applied Mathematics are strongly encouraged to take Math 5718 Applied Linear Algebra and either Math 5070 Applied Analysis or Math 6131 Real Analysis for their electives.